International Journal of AI • ISSN: XXXX-XXXX • Vol. X, Issue X • 2026
Checked, Cited, and Auditable: AI for Tailings
S.O. Meone1
D.J. Weaver2
A.N. Other3
1University of X ·
2University of Y ·
3University of Z
Abstract.
This paper investigates the application of artificial intelligence to understanding the conceptual space of Tailings, highlighting how AI-driven insights can uncover patterns, relationships, and transformative implications.
Keywords: Authenticity, Beauty, Cleanliness, Commitment, Communityhealth, Confidence, Consideration, Contentment, Cooperation, Courage, Creativity, Detachment, Dignity, Earthresources, Earthscience, Ecosystemdegradation, Environment, Environmentalimpact, Environmentalpollution, Mining, Miningindustry, Miningwaste, Pond, Rocks, Sustainablemining, Tailingsponds, Toxicwaste, Waste, Wastemanagement
Received: Month 2026 · Accepted: Month 2026 · DOI: 10.0000/example